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Component Selection with Fuzzy Decision Making
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
2018 (engelsk)Inngår i: Procedia Computer Science, Elsevier B.V. , 2018, Vol. 126, s. 1378-1386Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In many situations a decision maker (DM) would like to grade a component, or rank several components of the same type. Often a component type has many features, which are deemed as valuable by the DM. Other vital features are not known by the DM but are needed for the component to function. However, it should be possible to guide the DM to find the desired business solution, without putting a requirement of detailed knowledge of the component type on the DM. We propose a framework for component selection with the help of fuzzy decision making. The work is based on algorithms from fuzzy decision making, which we have adapted or extended. The framework was validated by practitioners, which found the framework useful. © 2018 The Author(s).

sted, utgiver, år, opplag, sider
Elsevier B.V. , 2018. Vol. 126, s. 1378-1386
Serie
Procedia Computer Science, ISSN 1877-0509
Emneord [en]
component selection, fuzzy decision making, max-prod composition, minimization of regret, Knowledge based systems, Business solutions, Decision makers, Max-prod compositions, Decision making
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-17357DOI: 10.1016/j.procS.2018.08.089Scopus ID: 2-s2.0-85056626463OAI: oai:DiVA.org:bth-17357DiVA, id: diva2:1266877
Konferanse
22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018, 3 September 2018 through 5 September 2018
Merknad

open access

Tilgjengelig fra: 2018-11-29 Laget: 2018-11-29 Sist oppdatert: 2018-11-29bibliografisk kontrollert

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Silvander, Johan

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